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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
63,482 ratings

About the Course

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

KC

Dec 19, 2019

Excellent content. The grader seriously needs to be updated thogh. For example, it needs to be Python2 and Tensorflow2 compatible and also needs to be robust in handling common syntaxes such as "-=".

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5651 - 5675 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Sim K

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Mar 31, 2018

G

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b

By Sahil S

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Mar 23, 2018

Excellent

By German N

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Mar 13, 2018

Excellent

By kms g

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Mar 4, 2018

awesome!!

By Yash R S

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Feb 24, 2018

Excellent

By Eugene W

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Feb 23, 2018

Excellent

By jinil c

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Jan 27, 2018

Excellent

By Taekyung H

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Jan 20, 2018

Thank you

By saukhin s

•

Jan 19, 2018

top class

By chenchang

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Jan 13, 2018

very Good

By Nandigama V

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Jan 1, 2018

Excellent

By omar v

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Dec 24, 2017

Excellent

By 王琳娜

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Dec 17, 2017

very good

By 龙宪磊

•

Dec 9, 2017

very good

By Jie Z

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Dec 5, 2017

Excellent

By Ding, x

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Dec 2, 2017

excellent

By P S P R

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Dec 2, 2017

very good

By 姚朴健

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Nov 27, 2017

very good

By SAKURA

•

Nov 19, 2017

吴恩达男神男神男神

By hugo

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Nov 9, 2017

wonderful

By Andrés R d V

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Oct 31, 2017

Very good

By chun

•

Oct 24, 2017

very good

By Michel-Alexandre C

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Oct 24, 2017

Excellent

By 陈尚伟

•

Oct 8, 2017

Ng出品，必属精品

By 超 宋

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Oct 7, 2017

very nice